TL;DR - Azure Synapse
- Azure Synapse Analytics combines data warehousing and big data analytics in one service
- It queries data lakes and warehouses with SQL or Spark at massive scale
- Pay per compute and storage used
Pricing: Paid only
Best for: Enterprises & professionals
Score: 84/100
Pricing Plans
free trialMost Popular
Serverless SQL
$5/per TB processed
Query data lake
- Pay per query
- No infrastructure
- T-SQL support
- On-demand
Dedicated SQL
Varies
Data warehouse
- 100 DWU minimum
- Reserved capacity
- Predictable performance
- RA-GRS backup
Apache Spark
Varies
Big data analytics
- Node-based pricing
- Auto-scaling
- Multiple languages
- ML integration
About Azure Synapse
Azure Synapse brings together data warehousing and big data analytics. Query structured data with SQL and process unstructured data with Spark—all in one service with a unified experience.
Data integration pulls from anywhere. Power BI integration makes visualization seamless. On-demand and provisioned compute options fit different workloads.
Organizations doing serious analytics on Azure choose Synapse when they need both SQL analytics and big data processing without running separate systems.
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Azure Synapse FAQ
No real free tier. Pay for compute (on-demand or provisioned), storage, and pipelines. Can be expensive - estimate costs carefully.
Synapse Analytics is Microsoft's unified analytics platform. Data warehousing, big data, and data integration. Combines SQL, Spark, and pipelines.
Snowflake is simpler and cloud-agnostic. Synapse integrates better with Azure ecosystem. Snowflake for pure warehousing; Synapse for full analytics platform.
Synapse SQL provides both serverless and dedicated SQL pools. Query data lake files with T-SQL. Familiar SQL Server syntax for Azure users.
Yes, Synapse has built-in Spark pools. Run Spark jobs alongside SQL queries. Unified workspace for both SQL and Spark workloads.